Proseminar - Introductory survey course of research in complex systems and brain sciences at Florida Atlantic University, aimed at first semester graduate students.
Introduction to Dynamical Systems and Chaos - This course provides an introduction to nonlinear dynamical system theory. Topics of discussion are one-, two- and higher dimensional flows, oscillator theory, maps, attractors, bifurcations, chaos. Many examples will be presented from the areas of current research in physics, chemistry, biology and neuroscience. Prospective students will be expected to have an elementary knowledge of calculus and a passing familiarity with ordinary differential equations (ODEs). Homework problems will be selectively discussed in class, occasionally as a presentation by the students
Methods in Complex Systems - Experimental design and statistical analysis of linear and nonlinear systems. Presents the classical statistical analysis and inference of linear systems that have a small number of noninteracting pieces and how those statistical methods and analysis procedures are different for nonlinear complex systems with many pieces that interact strongly with each other, such as fractals and chaos.
Neuroscience I - This course is intended for Graduate Students and is the first of a two-part sequence (6 credits total) which covers in depth the principles of neural science, including structure and function of cells in the nervous system, neurotransmitter systems, functional neuroanatomy, sensory processes, higher brain function, neural development and cellular mechanisms of learning and memory. Senior Undergraduates interested in taking this course should consult the instructors.
Neuroscience II - This course continues on from Neuroscience I with Functional Neuroanatomy. The Senses -- Vision, Hearing, Somatosensory, Smell and Taste are covered in this course. The course concludes with lectures on Neural Development and the Cellular Mechanisms of Learning and Memory. If time permits, a few special topics such as Neuroimmunology and Neural Networks will be given by the instructor or guest lecturers. Neuroscience I is a pre-requisite for this course.
Cognitive Neuroscience - An interdisciplinary survey of the neural basis of cognitive functions such as perception, attention, memory and language.
